All breakdowns - Page 34

All breakdowns - Page 34 collects published AI and devtools video briefings, newest first.

Page 34 of 38

331

Brief 331IBM TechnologyJun 24, 2026

Social Engineering Won’t End; It’s Shifting to Your Agents

Social engineering won’t stop; it’ll target AI agents instead of people. The threat surface is moving, and your IAM isn't ready.

Themes

AI Workflows AI Infrastructure Engineering Leadership

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332

Brief 332InfoQJun 24, 2026

Stop Prompt Hacking: Architect for Deterministic AI Agents

Prompt engineering won’t make AI agents reliable. Build a skill store: codify successful outputs as deterministic code to skip reasoning for known problems.

Themes

AI Workflows Developer Tooling Engineering Leadership

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333

Brief 333InfoQJun 24, 2026

Durable Agents Need Workflow Engines, Not Whole-Loop Sandboxes

Separating agent reasoning from tool execution in a durable workflow engine prevents state loss, eliminates idle waits, and provides an audit trail.

Themes

AI Workflows AI Infrastructure Engineering Leadership

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334

Brief 334InfoQJun 24, 2026

Context Bloat Will Drain Your AI Budget—Fix It with Just-in-Time Tools

Unused MCP servers silently multiply token costs by 175x. Gateways and registries enable just-in-time tool delivery—but real-world proof is absent.

Themes

AI Infrastructure Developer Tooling Engineering Leadership

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335

Brief 335InfoQJun 24, 2026

AI’s Real Bottleneck: Context, Not Compute

CAST’s graph halved token use and doubled accuracy, letting a team cut a mainframe modernization from 7.5 years to 3.

Themes

AI Infrastructure Developer Tooling Engineering Leadership

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336

Brief 336AWS DevelopersJun 23, 2026

The System Prompt Is Your Agent's Real Strategy, Not the Model

Tools turn an LLM into an agent, but the system prompt is the real strategy. MCP aims to turn internal APIs into agent capabilities without custom code.

Themes

AI Workflows Developer Tooling AI Infrastructure

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337

Brief 337The Pragmatic EngineerJun 23, 2026

Slow Down Your AI Coding Before It Breaks Your Engineering Culture

Meta’s AI-written, AI-reviewed code caused a security disaster. The lesson: without human oversight, AI coding tools destroy trust and reliability.

Themes

Engineering Leadership AI Workflows Productivity & Process

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338

Brief 338AssemblyAIJun 23, 2026

Voice Agents Get Smarter Transcription, But Vendor Lock-in Looms

Promptable speech-to-text aims to fix voice agent disambiguation failures, but early demos leave real-world accuracy and vendor lock-in questions unanswered.

Themes

AI Infrastructure Developer Tooling

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339

Brief 339GOTO ConferencesJun 23, 2026

Your Architecture Process Is the Bottleneck

Decentralizing architecture decisions with advice processes and ADRs removes bottlenecks, but demands trust and a cultural shift away from gatekeeping.

Themes

Engineering Leadership Productivity & Process Developer Tooling

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340

Brief 340InfoQJun 23, 2026

Community and Maturity Model, Not Tools, Drove Meta’s AI Gains

Meta’s team tripled code coverage with AI using a self‑assessment maturity model and grassroots community—but the speed exposed a looming code‑review crisis.

Themes

Productivity & Process AI Workflows Developer Tooling

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